Compensation Data Analysis and Interpretation Questions

Demonstrate a structured approach to analyzing compensation datasets and drawing business insights. Include exploratory data analysis steps such as distribution checks outlier detection group aggregation and cross tabulation; data cleaning and validation practices; use of structured query language and advanced spreadsheet techniques to compute means medians percentiles variances and other summary statistics; and application of regression or other controls to isolate pay drivers in pay equity work. Emphasize documenting assumptions producing clear visuals and translating technical findings into actionable recommendations for HR and business partners.